MétaCan
Menu
Back to cohort

Collegiality Under Threat?

2023· article· en· W4385224191 on OpenAlexaffabout
Bill Harley, Peter Fleming, Ulla Eriksson‐Zetterquist, Kerstin Sahlin, Logan Crace, Joel Gehman, Michael Lounsbury, Jakov Jandrić

Bibliographic record

VenueAcademy of Management Proceedings · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of AlbertaAlberta Health
Fundersnot available
KeywordsCollegialityCorporate governanceSociologyManagerialismPolitical scienceManagementPublic relationsPublic administrationPedagogy

Abstract

fetched live from OpenAlex

This symposium aims to stimulate debate, reflection and research on collegiality by management scholars. Collegiality as a set of values and practices is central to the idea of the university. Yet it appears that in many places collegiality is under threat from managerialism. In spite of its centrality to our institutions and working lives, collegiality has received remarkably little attention from management scholars. This symposium aims to stimulate debate, reflection and research on collegiality within the management discipline. It brings together four papers by teams of authors based in North America, Europe, the UK and Australia, which examine collegiality through different lenses. They are united by a concern with understanding collegiality and the threats it currently faces and encouraging discussion of how it might be protected and expanded. Governance Dilemmas and Academic Freedom in Contemporary Universities Author: Kerstin Sahlin; Uppsala U. Author: Ulla Eriksson-Zetterquist; Ulla Eriksson-Zetterquist An Unsettling Crisis of Collegial Governance Author: Logan Crace; Alberta School of Business Author: Joel Gehman; George Washington U. Author: Michael Lounsbury; U. of Alberta For Slow Collegiality Author: Peter Fleming; U. of Technology, Sydney Author: Bill Harley; U. of Melbourne Colleagueship, Community and Communication of Intent at an Anonymous Business School Author: Jakov Jandric; U. of Edinburgh Author: Rick Delbridge; Cardiff U.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.697
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.358
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAcademy of Management ProceedingsSame topicHigher Education Governance and DevelopmentFrench-language works237,207